Although many policymakers and analysts associate “core CPI inflation” with the CPI excluding food and energy, there are other measures of core consumer price inflation. Like the CPI excluding food and energy, these other measures typically attempt to identify the underlying trend in CPI...

The primary goal of Federal Reserve monetary policy is to foster maximum long-term growth in the U.S. economy by achieving price stability over time. Price stability will be achieved, according to some definitions, when inflation ceases to be a factor in the decision-making processes of...

In setting monetary policy in 1995, the Federal Reserve sought to promote sustainable economic growth and continued progress toward price stability. Toward those ends, the Federal Reserve adjusted the stance of monetary policy three times in 1995. In February, amid signs of increasing...

From early 1994 to early 1995, inflation surged in the producer price indexes for crude materials and intermediate goods. For example, inflation in intermediate goods prices rose from 2.6 percent annually in the first half of 1994 to 7.1 percent over the next nine months. At the same time,...

Small-scale VARs are widely used in macroeconomics for forecasting U.S. output, prices, and interest rates. However, recent work suggests these models may exhibit instabilities. As such, a variety of estimation or forecasting methods might be used to improve their forecast accuracy. These...

This study examines the problem of forecasting an aggregate of cointegrated disaggregates. It first establishes conditions under which forecasts of an aggregate variable obtained from a disaggregate VECM will be equal to those from an aggregate, univariate time series model, and develops a...

This paper examines the asymptotic and finite-sample properties of tests of equal forecast accuracy applied to direct, multi-step predictions from both non-nested and nested linear regression models. In contrast to earlier work -- including West (1996), Clark and McCracken (2001, 2005),and...

Motivated by the common finding that linear autoregressive models forecast better than models that incorporate additional information, this paper presents analytical, Monte Carlo, and empirical evidence on the effectiveness of combining forecasts from nested models. In our analytics, the...

Small-scale VARs have come to be widely used in macroeconomics, for purposes ranging from forecasting output, prices, and interest rates to modeling expectations formation in theoretical models. However, a body of recent work suggests such VAR models may be prone to instabilities. In the face of...